{"title":"体能是中年衰老速度的标志","authors":"Roy Tzemah-Shahar, M. Agmon","doi":"10.1093/geroni/igad104.0913","DOIUrl":null,"url":null,"abstract":"Abstract Biological age captures the heterogeneity of aging by providing an estimation for rate of aging. As an alternative to the widely investigated laboratory biomarkers of aging, behavioral functional markers of physical capacity may offer a feasible alternative for identifying individuals at risk for negative aging trajectory. We aimed to examine the associations of different functional tests both together and as a composite score of physical capacity with rate of aging. We conducted a cross-sectional study, with midlife adults (age ~45) reporting being able to perform leisure physical exercise. Biological age was estimated using the Klemera-Doubal method and a set of physiological biomarkers; rate of aging, ∆Age, was defined as the difference between age and estimated biological age. Physical capacity was measured using a testing battery of 15 functional tests linked with six physical capacity domains. 116 participants completed the testing battery. For women, better results in terms of strength, flexibility, cardiorespiratory fitness, and balance tests were negatively correlated with ∆Age (r=0.38-0.29, p<0.05); for men, beyond these tests, agility was also negatively correlated with ∆Age (r=0.27-0.59, p<0.05). A sex-standardized composite score of physical capacity was negatively associated with ∆Age after controlling for chronological age, smoking, and education (r=-0.437, p=0.007; r=-0.491, p<0.001 for women and men respectively). The suggested physical capacity battery offers a functional assessment for ∆Age. Higher physical capacity metrics correlate with smaller ∆Age, corresponding with younger biological age. Measuring physical capacity may help to assess aging trajectory and offer a suitable behavioral intervention goal.","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"228 ","pages":"274 - 275"},"PeriodicalIF":4.9000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PHYSICAL CAPACITY AS MARKER FOR RATE OF AGING IN MID LIFE\",\"authors\":\"Roy Tzemah-Shahar, M. Agmon\",\"doi\":\"10.1093/geroni/igad104.0913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Biological age captures the heterogeneity of aging by providing an estimation for rate of aging. As an alternative to the widely investigated laboratory biomarkers of aging, behavioral functional markers of physical capacity may offer a feasible alternative for identifying individuals at risk for negative aging trajectory. We aimed to examine the associations of different functional tests both together and as a composite score of physical capacity with rate of aging. We conducted a cross-sectional study, with midlife adults (age ~45) reporting being able to perform leisure physical exercise. Biological age was estimated using the Klemera-Doubal method and a set of physiological biomarkers; rate of aging, ∆Age, was defined as the difference between age and estimated biological age. Physical capacity was measured using a testing battery of 15 functional tests linked with six physical capacity domains. 116 participants completed the testing battery. For women, better results in terms of strength, flexibility, cardiorespiratory fitness, and balance tests were negatively correlated with ∆Age (r=0.38-0.29, p<0.05); for men, beyond these tests, agility was also negatively correlated with ∆Age (r=0.27-0.59, p<0.05). A sex-standardized composite score of physical capacity was negatively associated with ∆Age after controlling for chronological age, smoking, and education (r=-0.437, p=0.007; r=-0.491, p<0.001 for women and men respectively). The suggested physical capacity battery offers a functional assessment for ∆Age. Higher physical capacity metrics correlate with smaller ∆Age, corresponding with younger biological age. Measuring physical capacity may help to assess aging trajectory and offer a suitable behavioral intervention goal.\",\"PeriodicalId\":13596,\"journal\":{\"name\":\"Innovation in Aging\",\"volume\":\"228 \",\"pages\":\"274 - 275\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovation in Aging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/geroni/igad104.0913\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation in Aging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/geroni/igad104.0913","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
PHYSICAL CAPACITY AS MARKER FOR RATE OF AGING IN MID LIFE
Abstract Biological age captures the heterogeneity of aging by providing an estimation for rate of aging. As an alternative to the widely investigated laboratory biomarkers of aging, behavioral functional markers of physical capacity may offer a feasible alternative for identifying individuals at risk for negative aging trajectory. We aimed to examine the associations of different functional tests both together and as a composite score of physical capacity with rate of aging. We conducted a cross-sectional study, with midlife adults (age ~45) reporting being able to perform leisure physical exercise. Biological age was estimated using the Klemera-Doubal method and a set of physiological biomarkers; rate of aging, ∆Age, was defined as the difference between age and estimated biological age. Physical capacity was measured using a testing battery of 15 functional tests linked with six physical capacity domains. 116 participants completed the testing battery. For women, better results in terms of strength, flexibility, cardiorespiratory fitness, and balance tests were negatively correlated with ∆Age (r=0.38-0.29, p<0.05); for men, beyond these tests, agility was also negatively correlated with ∆Age (r=0.27-0.59, p<0.05). A sex-standardized composite score of physical capacity was negatively associated with ∆Age after controlling for chronological age, smoking, and education (r=-0.437, p=0.007; r=-0.491, p<0.001 for women and men respectively). The suggested physical capacity battery offers a functional assessment for ∆Age. Higher physical capacity metrics correlate with smaller ∆Age, corresponding with younger biological age. Measuring physical capacity may help to assess aging trajectory and offer a suitable behavioral intervention goal.
期刊介绍:
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.